* make bilinear interpolate stable.

* fix code

* delete Bias and ResidualData in OpMaker of conv2d

* delete extra input of conv3d

* refactor pass of conv_bias_fusion

* fix mkldnn dependency

* fix mkldnn compile

* fix test_conv_bias_mkldnn_fuse_pass

* police some code

* remove useless log

* fix analyzer_vit_ocr_tester

* fix conv_activation_mkldnn_fuse_pass

* fix test_analyzer_ocr

* add fused_conv_sig

* fix performence regression

* fix performance regression

*test=kunlun

* remove fluid code

* init

* typo

* fix merge conflicts

* remove layers.matmul in nets.py

* remove layers.matmul in rnn_impl/test_quantization_pass/auto_parallel_gpt_model/test_auto_parallel_completion_gpt

* remove layers.matmul in other files

* fix

* fix

* remove layers.matmul itself

* remove ref in CMakeLists.txt and tools directory

* remove matmul in fluid.layers.nn.py

* remove matmul in fluid.dygraph.rnn.py && resotre test_matmul_op.py

* replace matmul in fluid.dygraph.rnn.py && clean api_test in test_matmul_op.py

* fix error && restore empty test_auto_search_dist_matmul_op.py

* fix check in test_auto_parallel_partitioner.py

* fix test_dist_matmul && test_flags_mkldnn_ops_on_off

* fix test_fused_attention_op_xpu.py && test_matmul_op_xpu.py

* remove test_auto_search_dist_matmul_op.py

* remove layers.matmul in auto_parallel_gpt_model.py && fix doc in fluid/io.py

* fix for matmul_grad

* fix codestyle

* fix codestyle

* resolve conflicts error

* restore unit test file but not compiled it for later remove

* fix codestyle

* fix wrong unittest skip

* fix unittest delete

* fix scale cost

* fix scale cost

* resolve conflicts error

* resolve conflicts error
Co-authored-by: Njakpiase <jakpia21@gmail.com>

* add stat tool

* add roll and roll_grad kernels and strided_slice and strided_slice_grad kernels, test=kunlun

* add xpu rmsprop centered, test=kunlun

* first commit

* fix bugs according to ci

* add some changes

* change file name into function.cu.h

* remove const_cast

* fix bug

* fix bugs in api_gen tools

* Replace mutable_data with DeviceContext.Alloc in phi kernels

* Fix CI errors

* Fix CI errors

* Fix CI errors, test=kunlun

* Fix CI errors, test=kunlun

* Handle rnn_functor

* Update approvals

* register more bf16 ops

* update to register coresponding backward ops

* generate static graph code of some ops by yaml, test = develop

* generate static graph code of some ops by yaml, test = develop

[Fluid Clean] remove nn.topk, nn.ctc_greedy_decoder, nn.im2sequence, nn.multiplex, nn.smooth_l1 (#48289)

* rm poly_util.h

* format code

* fix some problems

* format code

* Add migrations

* Fix build errors

* Remove elementwise_mul from migration

* Migrate mul_mkldnn_op to matmul_kernel

* Review fixes - changed mutable_data, changed ctx to dev_ctx, fixed namespaces

* switched some funcs to phi

* Deleted not needed phi:: and changed place checking according to standards

* [Eager] Fix paddle.grad interface

* [Eager] Support minimum SubGraph for GeneralGrad

* Add needed_nodes to prune grad graph more thoroughly

* [Eager] Add grad_node_trans_mapping_ to record which grad_node has been transformed to AccumulationNode

* [Eager] Fix paddle.grad interface

* Polish code

* remove potential_stop_node

* Add endding_nodes to enhance genSugraph logic

* clear endding_nodes_

* polish code

* rename endding_nodes to endding_nades_

* Refactor grad interface

* Add register_hook case to fix coverage-ci

* Fix code format

* Refactor general_grad

* Add more code comments

* call clear directly to release GradSlotMeta

* fix a mistake

* fix matmul/ multiply kernel logic and optional input in yaml, fill zeros logic and so on.

* fix batch_norm_double_grad yaml optional config

* fix tanh_triple_grad yaml and kernels

* fix MultiplyTripleGradKernel optional logic

* fix merge mistake

* fix compile error

* remove legacy attr for bn

* polish code

* fix some kernel

* merge develop

* fix error

* remote log

* fix kernel with full like

* hide value log behind

* hide value log behind

* fix matmul_triple grad

* fix xpu compile error

* fix xpu compile error

* fix xpu ut

* fix xpu ut

* fix_xpu_compile_error
Co-authored-by: NWeilong Wu <veyron_wu@163.com>

* profile reduce kernel for fp16 and reduceHigherdim

* use reinterpret_cast

* fix for CI on ROCm

* add Macro for ROCm

* ROCm CI config

* ROCm CI config

* unit test repair

* pull

* add common_funcs.h

* reduceType

* Update reduce_function.h

* not higher

* rename

* fix capi kernel registration macro error

* update

[Eager, Performance Optimization] modify AllocateFrom to reduce deconstruction of shared_ptr (#48548)

* [Eager] Fix paddle.grad interface

* [Eager] Support minimum SubGraph for GeneralGrad

* Add needed_nodes to prune grad graph more thoroughly

* [Eager] Add grad_node_trans_mapping_ to record which grad_node has been transformed to AccumulationNode

* [Eager] Fix paddle.grad interface

* Polish code

* remove potential_stop_node

* Add endding_nodes to enhance genSugraph logic

* clear endding_nodes_

* polish code

* rename endding_nodes to endding_nades_

* Refactor grad interface

* Add register_hook case to fix coverage-ci

* Fix code format

* Refactor general_grad

* Add more code comments

* call clear directly to release GradSlotMeta

* fix a mistake

* fix matmul/ multiply kernel logic and optional input in yaml, fill zeros logic and so on.

* fix batch_norm_double_grad yaml optional config

* fix tanh_triple_grad yaml and kernels

* fix MultiplyTripleGradKernel optional logic

* fix merge mistake

* fix compile error

* remove legacy attr for bn

* polish code

* fix some kernel

* merge develop

* fix error

* remote log

* fix kernel with full like

* hide value log behind

* hide value log behind

* fix matmul_triple grad
Co-authored-by: NWeilong Wu <veyron_wu@163.com>

* add stat tool

* add roll and roll_grad kernels and strided_slice and strided_slice_grad kernels, test=kunlun

* add silu, unfold and their grads,test=kunlun

* rename kernel for top_k, slogdeterminant, generate_proposals_v2

* fix bug

* fix error log for yaml check

* remove grad_op of increment

* migrate transpose_op.cu.h and gpu_utils.h

* format code style

* fix some problems

* format code

* reset tranpose_op.cc

* test commit

* recover transpose_op.h

* delete transpose_op.h

* adjust header files order in transpose_op.cc

* [Perf]Fix interploate OutSize data transform problem

* fix code style

* fix grad

* fix phi kernel

* rename some kernel name

* fix compile problem

some legacy code still use xpu_wait() for stream sync -- it only syncs
default stream. this PR replaces them with dev_ctx.Wait() to ensure
that correct stream is always used

* traspose2 kernel migrated

* Got rid of mutable_data

* x modification added

* ops added in extra info file

* Formatting fix

* 2 fuse passes with tanpose2 commented

* nr of outs changed in 2 passes, passes uncommented

* Changes in passes reverted

* transpose chnaged in operator.cc

* MKLDNN check in operator.cc

* Transpose fixes

* Fix deleted from operato

* template corrected
Co-authored-by: NPaulina Gacek <paulinagacek@intel.com>